Self-Reported Fatigue Predicts Incident Stroke in a General Population: EPIC-Norfolk Prospective Population-Based Study.

Barlas, Genevieve; Luben, Robert L; Neal, Samuel R; Wareham, Nicholas J; Khaw, Kay-Tee; Myint, Phyo K

Barlas, Genevieve; Luben, Robert L; Neal, Samuel R; Wareham, Nicholas J; Khaw, Kay-Tee; Myint, Phyo K.

Barlas G; From the Institute of Applied Health Sciences, University of Aberdeen, Scotland, United Kingdom (G.B., S.R.N., P.K.M.).
Luben RL; Department of Public Health and Primary Care, University of Cambridge, United Kingdom (R.L.L., K.-T.K.).
Neal SR; From the Institute of Applied Health Sciences, University of Aberdeen, Scotland, United Kingdom (G.B., S.R.N., P.K.M.).
Wareham NJ; MRC Epidemiology Unit, Cambridge, United Kingdom (N.J.W.).
Khaw KT; Department of Public Health and Primary Care, University of Cambridge, United Kingdom (R.L.L., K.-T.K.).
Myint PK; From the Institute of Applied Health Sciences, University of Aberdeen, Scotland, United Kingdom (G.B., S.R.N., P.K.M.).

Stroke ; 51(4): 1077-1084, 2020 04.

Article en En | MEDLINE | ID: mdl-32126943

Asunto(s)

Fatiga/epidemiología; Vigilancia de la Población; Autoinforme; Accidente Cerebrovascular/epidemiología; Adulto; Anciano; Fatiga/diagnóstico; Femenino; Estudios de Seguimiento; Humanos; Incidencia; Masculino; Persona de Mediana Edad; Estudios Prospectivos; Accidente Cerebrovascular/diagnóstico

Palabras clave

depression; follow-up studies; humans; risk factors; self-report

Texto completo

Imprimir

XML

PubMed Links

Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Vigilancia de la Población / Accidente Cerebrovascular / Fatiga / Autoinforme Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2020 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Search on Google